World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7209
World Ranking
6598
National Ranking
885

Overview

Biao Hou is affiliated with Xidian University in China and has contributed extensively to the fields of engineering and computer science, with a focus on specific subfields including computer vision and pattern recognition, media technology, aerospace engineering, artificial intelligence, and biomedical engineering.

The primary research topics explored by Biao Hou include:

  • Remote-Sensing Image Classification
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Advanced Image Fusion Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Domain Adaptation and Few-Shot Learning

Biao Hou's recent publications illustrate contributions across several renowned journals and conferences, including the following papers:

  • New Generation Deep Learning for Video Object Detection: A Survey, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Feature Split-Merge-Enhancement Network for Remote Sensing Object Detection, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • A spatial-channel progressive fusion ResNet for remote sensing classification, 2020, Information Fusion
  • Graph Representation Learning Meets Computer Vision: A Survey, 2022, IEEE Transactions on Artificial Intelligence
  • Spatio-temporal segments attention for skeleton-based action recognition, 2022, Neurocomputing

Throughout their career, Biao Hou has frequently collaborated with other scholars. Notable coauthors include Licheng Jiao, Bo Ren, Shuang Wang, Fang Liu, and Shuyuan Yang.

Frequent publishing venues where Biao Hou's work appears include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • arXiv (Cornell University)

Biao Hou's research output demonstrates active engagement with both theoretical and application-driven aspects of remote sensing and neural networks, combining advanced methodologies in image processing and computer vision with progressive fusion techniques and deep learning approaches. Their scholarly record spans multidisciplinary collaborations and dissemination in high-impact academic sources.

Best Publications

  • New Generation Deep Learning for Video Object Detection: A Survey

    Licheng Jiao;Ruohan Zhang;Fang Liu;Shuyuan Yang

  • SAR Image Despeckling Based on Local Homogeneous-Region Segmentation by Using Pixel-Relativity Measurement

    Hongxiao Feng;Biao Hou;Maoguo Gong

  • Using Combined Difference Image and $k$ -Means Clustering for SAR Image Change Detection

    Yaoguo Zheng;Xiangrong Zhang;Biao Hou;Ganchao Liu

  • Feature Split–Merge–Enhancement Network for Remote Sensing Object Detection

    Unknown

  • POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information

    Fang Liu;Licheng Jiao;Biao Hou;Shuyuan Yang

  • Unsupervised Change Detection in SAR Image Based on Gauss-Log Ratio Image Fusion and Compressed Projection

    Biao Hou;Qian Wei;Yaoguo Zheng;Shuang Wang

  • SAR Image Despeckling Based on Nonsubsampled Shearlet Transform

    Biao Hou;Xiaohua Zhang;Xiaoming Bu;Hongxiao Feng

  • Classification of Polarimetric SAR Images Using Multilayer Autoencoders and Superpixels

    Biao Hou;Hongda Kou;Licheng Jiao

  • Multilayer CFAR Detection of Ship Targets in Very High Resolution SAR Images

    Biao Hou;Xingzhong Chen;Licheng Jiao

  • SAR Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters

    Ronghua Shang;Jiaming Wang;Licheng Jiao;Rustam Stolkin

  • Transferred Deep Learning-Based Change Detection in Remote Sensing Images

    Meijuan Yang;Licheng Jiao;Fang Liu;Biao Hou

  • Graph Representation Learning Meets Computer Vision: A Survey

    Unknown

  • Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images

    Fang Liu;Licheng Jiao;Xu Tang;Shuyuan Yang

  • POLSAR Image Classification via Wishart-AE Model or Wishart-CAE Model

    Wen Xie;Licheng Jiao;Biao Hou;Wenping Ma

  • Natural and Remote Sensing Image Segmentation Using Memetic Computing

    Licheng Jiao;Maoguo Gong;Shuang Wang;Biao Hou

  • Self-Distillation Feature Learning Network for Optical and SAR Image Registration

    Unknown

  • A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation

    Ronghua Shang;Pingping Tian;Licheng Jiao;Rustam Stolkin

  • Spatio-temporal segments attention for skeleton-based action recognition

    Unknown

  • Context-Based Hierarchical Unequal Merging for SAR Image Segmentation

    Hang Yu;Xiangrong Zhang;Shuang Wang;Biao Hou

  • SAR Images Retrieval Based on Semantic Classification and Region-Based Similarity Measure for Earth Observation

    Licheng Jiao;Xu Tang;Biao Hou;Shuang Wang

  • A spatial-channel progressive fusion ResNet for remote sensing classification

    Hao Zhu;Mengru Ma;Wenping Ma;Licheng Jiao

  • CNN-Based Polarimetric Decomposition Feature Selection for PolSAR Image Classification

    Chen Yang;Biao Hou;Bo Ren;Yue Hu

  • SAR Image Despeckling Using Edge Detection and Feature Clustering in Bandelet Domain

    Wenge Zhang;Fang Liu;Licheng Jiao;Biao Hou

  • Unsupervised saliency-guided SAR image change detection

    Yaoguo Zheng;Licheng Jiao;Hongying Liu;Xiangrong Zhang

  • Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models

    Jiao Wu;Fang Liu;L. C. Jiao;Xiaodong Wang

  • Multilayer feature learning for polarimetric synthetic radar data classification

    Huiming Xie;Shuang Wang;Kun Liu;Shaopeng Lin

Frequent Co-Authors

Licheng Jiao
Licheng Jiao Xidian University
Xiangrong Zhang
Xiangrong Zhang Xidian University
Shuyuan Yang
Shuyuan Yang Xidian University
Wenping Ma
Wenping Ma Xidian University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Ronghua Shang
Ronghua Shang Xidian University
Rustam Stolkin
Rustam Stolkin University of Birmingham
Maoguo Gong
Maoguo Gong Xidian University
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences
Jun Lu
Jun Lu Zhejiang University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re considering studying Computer Science in the USA, there are several related degrees and pathways you may want to explore. Many students broaden their skills with online electrical engineering courses USA, which can complement a Computer Science background, especially for those interested in hardware or embedded systems.

For those seeking faster entry into the tech job market, 3-month certificate programs that pay well are a popular choice. These focused programs can boost employability and provide in-demand technical skills in a short time frame.

If you’re aiming for advanced roles, consider quick masters degrees online. These programs allow you to earn a graduate credential swiftly, making it easier to balance work and study. When planning for your future, look into the most worthwhile masters degrees to ensure your investment leads to strong career opportunities.

Each pathway offers unique advantages and can help you find your niche within the ever-evolving tech sector.

Best Scientists Citing Biao Hou

Trending Scientists

Recently Published Articles